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<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta
name="viewport"
content="width=device-width, initial-scale=1.0, user-scalable=yes"
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<title>ai_34df66614daf45c69b1731f2d2ab30f1.md</title>
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display: inline-block;
vertical-align: top;
width: 50%;
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</style>
</head>
<body>
<h1 id="ai">ai</h1>
<h3 id="books">Books</h3>
<ul>
<li>
<a href="https://melaniemitchell.me/aibook"
>Artificial Intelligence: A Guide for Thinking Humans</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://www.amazon.com/AI-Superpowers-China-Silicon-Valley-ebook/dp/B0795DNWCF"
>AI Superpowers: China, Silicon Valley, and the New World Order</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://twitter.com/Miles_Brundage/status/1177999361118277635 +
https://twitter.com/jennyhbren/status/1164099257378492416
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/amitkaps/hackermath"
>Introduction to Statistics and Basics of Mathematics for Data Science
- The Hacker’s Way</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/JWarmenhoven/ISLR-python"
>An Introduction to Statistical Learning (James, Witten, Hastie,
Tibshirani, 2013)</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://spinningup.openai.com/en/latest/user/introduction.html"
>Spinning Up in Deep Reinforcement Learning</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://dafriedman97.github.io/mlbook/content/introduction.html"
>Machine Learning from Scratch</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://www.linkedin.com/posts/arnuld-on-data_how-id-start-learning-machine-learning-again-activity-6707557261012795392-nEG1
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/lyhue1991/eat_tensorflow2_in_30_days</li>
</ul>
<!-- -->
<ul>
<li>
https://mentorcruise.com/books/ml +
https://news.ycombinator.com/item?id=23997301
</li>
</ul>
<!-- -->
<ul>
<li>
https://builtin.com/data-science/data-science-books +
https://news.ycombinator.com/item?id=23936249
</li>
</ul>
<!-- -->
<ul>
<li>https://twitter.com/EmilWallner/status/1314581326209613826</li>
</ul>
<!-- -->
<ul>
<li>
<a href="http://themlbook.com/"
>The Hundred-Page Machine Learning Book by Andriy Burkov</a
>
+ https://news.ycombinator.com/item?id=25905899
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://notamonadtutorial.com/how-we-wrote-a-hands-on-bayesian-data-science-book-in-6-months-a97c73a510b5"
>Data Science in Julia for Hackers</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://docs.google.com/presentation/d/1anMlTRTguPB0dUG7t3u5dgV6xuAaU9XadWFFX_dn7oE"
>Recurrent Attentive Neural Process for Time Series Clustering (Master
Thesis)</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://uxplanet.org/designer-friendly-resources-to-study-ai-and-machine-learning-1-6106e257faeb
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://francisbach.com/i-am-writing-a-book"
>Learning Theory from First Principles</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://andrewnc.github.io/blog/everyday_data_science.html</li>
</ul>
<h3 id="course">Course</h3>
<ul>
<li>
<a href="https://jaredtumiel.github.io/blog/2020/05/12/three-rules.html"
>Unconventional Ways to Learn More Online</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://ttumiel.github.io/blog/getting-into-ml</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/CryptoSoc/fastai-lessons</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks</li>
</ul>
<!-- -->
<ul>
<li>
https://github.com/bnorbert/Courses/blob/master/History%20Of%20Computer%20Science%20Project/A_brief_history_of_Machine_Learning.pdf
</li>
</ul>
<!-- -->
<ul>
<li>
https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course
</li>
</ul>
<!-- -->
<ul>
<li>
https://academy.infinite.red/p/ai-demystified-free-5-day-mini-course
</li>
</ul>
<!-- -->
<ul>
<li>https://laconicml.com/free-artificial-intelligence-courses</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://twitter.com/jcjohnss/status/1292864888663048192"
>Deep Learning for Computer Vision</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://www.fast.ai/2020/08/19/data-ethics +
https://news.ycombinator.com/item?id=24213477
</li>
</ul>
<!-- -->
<ul>
<li><a href="https://js4ds.org/">JavaScript for Data Science</a></li>
</ul>
<!-- -->
<ul>
<li>https://www.freecodecamp.org/news/hands-on-data-science-course</li>
</ul>
<!-- -->
<ul>
<li>https://course.elementsofai.com</li>
</ul>
<!-- -->
<ul>
<li>
https://www.freecodecamp.org/news/building-a-data-science-curriculum-with-advanced-math-and-machine-learning
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/lexfridman/mit-deep-learning</li>
</ul>
<h3 id="cinema">Cinema</h3>
<ul>
<li>
<a
href="https://www.youtube.com/playlist?list=PLzuuYNsE1EZAXYR4FJ75jcJseBmo4KQ9-"
>RL Course by David Silver</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://www.youtube.com/playlist?list=PLkFD6_40KJIznC9CDbVTjAF2oyt8_VAe3"
>CS294-112 Fall 2017 (deep RL course)</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://www.youtube.com/user/keeroyz/playlists"
>Two Minute Papers</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://www.youtube.com/playlist?list=PLOuhQnxVenf15KhhTGnSRgniYwcXFS-rK"
>Machine Learning and Programming - Vivek Haldar</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://www.youtube.com/playlist?list=PLKwUZp9HwWoA7AjUeuWnvQdNXcQ7bF3e1"
>Building a Machine Learning Based Web App Firewall/IPS from Scratch |
Debasish Mandal</a
>
+
http://www.debasish.in/2020/10/videobuilding-machine-learning-based.html
</li>
</ul>
<h3 id="community">Community</h3>
<ul>
<li>
Suzana Ilić: <a href="https://twitter.com/suzatweet">Twitter</a>,
<a href="https://www.linkedin.com/in/suzanailic/">Linkedin</a>
</li>
</ul>
<!-- -->
<ul>
<li>
Brandon Rohrer: <a href="https://twitter.com/_brohrer_">Twitter</a>,
<a href="https://www.linkedin.com/in/brohrer/">Linkedin</a>
</li>
</ul>
<!-- -->
<ul>
<li>
Chip Huyen: <a href="https://twitter.com/chipro">Twitter</a>,
<a href="https://www.linkedin.com/in/chiphuyen/">Linkedin</a>
</li>
</ul>
<!-- -->
<ul>
<li>
https://interestingengineering.com/robert-downey-jrs-series-on-ai-is-available-on-youtube-right-now
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://news.ycombinator.com/item?id=23923183"
>Joscha Bach: Artificial Consciousness and the Nature of Reality</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://twitter.com/SchmidhuberAI">Jürgen Schmidhuber</a>
</li>
</ul>
<!-- -->
<ul>
<li>https://twitter.com/svpino/status/1320722226069573634</li>
</ul>
<!-- -->
<ul>
<li>https://sararobinson.dev/2020/11/17/writing-a-technical-book.html</li>
</ul>
<!-- -->
<ul>
<li><a href="https://etzold.io/">Daniel Etzold</a></li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://progressstudies.school/the-torch-of-progress-ep-7-with-noor-siddiqui"
>Noor Siddiqui</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://twitter.com/amitness/status/1288713405700780033</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://www.youtube.com/c/AICoffeeBreak/playlists"
>Letiția Pârcălăbescu</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://www.meetup.com/MLUXmeetup"
>Machine Learning & User Experience (MLUX)</a
>
</li>
</ul>
<!-- -->
<ul>
<li><a href="http://www.marilynmonrobot.com/about">Heather Knight</a></li>
</ul>
<h3 id="references">References</h3>
<ul>
<li>https://twitter.com/binitamshah/status/1312760070183153665</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/leandromineti/ml-knowledge-graph</li>
</ul>
<!-- -->
<ul>
<li>
https://github.com/ZuzooVn/machine-learning-for-software-engineers
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/zotroneneis/machine_learning_basics</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/Avik-Jain/100-Days-Of-ML-Code</li>
</ul>
<!-- -->
<ul>
<li>
https://towardsdatascience.com/natural-language-processing-for-web-developers-765be34b27d0
</li>
</ul>
<!-- -->
<ul>
<li>
https://github.com/abhat222/Data-Science–Cheat-Sheet/tree/master/Machine%20Learning
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://news.ycombinator.com/item?id=21924298"
>Full-on machine learning for 2020, what are the best resources?</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/leandromineti/awesome-healthmetrics</li>
</ul>
<!-- -->
<ul>
<li>https://theaisummer.com/Deep-Learning-Algorithms</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/jivoi/awesome-ml-for-cybersecurity</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/src-d/awesome-machine-learning-on-source-code</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/mrdbourke/machine-learning-roadmap</li>
</ul>
<!-- -->
<ul>
<li>
https://medium.com/javascript-in-plain-english/ml-for-js-devs-in-10-minutes-46794782762e
</li>
</ul>
<!-- -->
<ul>
<li>https://twitter.com/EmilWallner/status/1301565902765293574</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/AMAI-GmbH/AI-Expert-Roadmap</li>
</ul>
<!-- -->
<ul>
<li>
https://towardsdatascience.com/a-learning-path-to-becoming-a-data-scientist-56c5c2e8ae3f
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/dformoso/machine-learning-mindmap</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/graykode/ai-docstring"
>Visual Studio Code extension to quickly generate docstrings for
Python functions using AI</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/spmallick/learnopencv"
>Learn OpenCV : C++ and Python Examples</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/eugeneyan/applied-ml</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/NirantK/awesome-project-ideas"
>Curated list of Machine Learning, NLP, Vision, Recommender Systems
Project Ideas</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/GokuMohandas/madewithml</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/chiphuyen/machine-learning-systems-design</li>
</ul>
<!-- -->
<ul>
<li>
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/hoya012/awesome-anomaly-detection</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/alex-movila/My-Public-AI-Presentations</li>
</ul>
<!-- -->
<ul>
<li>
https://www.notion.so/Rishabh-Anand-ceb23e08fecf4afb8732fe0f55039f90 +
https://twitter.com/rishabh16_/status/1366810566493310976
</li>
</ul>
<!-- -->
<ul>
<li>
https://github.com/Developer-Y/cs-video-courses#image-processing-and-computer-vision
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/RichardLitt/low-resource-languages"
>Resources for conservation, development, and documentation of low
resource (human) languages.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/terryum/awesome-deep-learning-papers</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/ageron/handson-ml"
>A series of Jupyter notebooks that walk you through the fundamentals
of Machine Learning and Deep Learning in python using Scikit-Learn and
TensorFlow.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/firmai/industry-machine-learning</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/aaronwangy/Data-Science-Cheatsheet</li>
</ul>
<h3 id="tools">Tools</h3>
<ul>
<li>
<a href="https://github.com/amitness/toolbox"
>Curated list of libraries for a faster machine learning workflow</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/grahamjenson/list_of_recommender_systems"
>Recommender systems (or recommendation engines)</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/KartikChugh/Otto"
>Otto is an intelligent chat application, designed to help aspiring
machine learning engineers go from idea to implementation with minimal
domain knowledge.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://calv.info/gpt-3-real-magic +
https://twitter.com/calvinfo/status/1286332337563684865
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://icons8.com/upscaler"
>Smart Upscaler can upscale images up to 3000x3000px.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://www.freecodecamp.org/news/building-a-habit-of-reading-research-papers
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/zzw922cn/Automatic_Speech_Recognition"
>End-to-end Automatic Speech Recognition for Madarian and English in
Tensorflow</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/WafaJohal/hri2021-pdf-downloader"
>HRI ’21: Proceedings of the 2021 ACM/IEEE International Conference on
Human-Robot Interaction</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://twitter.com/rtsarfaty/status/1381562132723085315"
><em>AlephBERT</em></a
><a href="https://twitter.com/rtsarfaty/status/1381562132723085315"
>, a Hebrew pretrained language model to start off your Hebrew NLP
Application</a
>
</li>
</ul>
<h3 id="neural-networks">Neural networks</h3>
<ul>
<li>
https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/amzn/computer-vision-basics-in-microsoft-excel</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/AgaMiko/bird-recognition-review</li>
</ul>
<!-- -->
<ul>
<li>
https://www.digitalocean.com/community/tutorials/how-to-trick-a-neural-network-in-python-3
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/Kayzaks/HackingNeuralNetworks</li>
</ul>
<h3 id="cnn">CNN</h3>
<ul>
<li>https://github.com/murari023/awesome-background-subtraction</li>
</ul>
<h3 id="deep-learning">Deep learning</h3>
<ul>
<li>
<a href="https://github.com/senguptaumd/Background-Matting"
>Background Matting is a project that uses deep learning to turn any
background into a green screen with just a handheld camera.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/openai/spinningup"
>An educational resource to help anyone learn deep reinforcement
learning.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/andri27-ts/Reinforcement-Learning"
>Reinforcement Learning + Deep Learning</a
>
</li>
</ul>
<h3 id="papers">Papers</h3>
<ul>
<li>
<a href="https://arxiv.org/ftp/arxiv/papers/2011/2011.03751.pdf"
>Software engineering for artificial intelligence and machine learning
software: A systematic literature review</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://www.aclweb.org/anthology/2020.coling-main.308.pdf"
>Towards the First Machine Translation System for
SumerianTransliterations</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/louisfb01/Best_AI_paper_2020</li>
</ul>
<h3 id="demos">Demos</h3>
<ul>
<li>https://github.com/emilwallner/Screenshot-to-code</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://twitter.com/caveheraa/status/1215787383494332416"
>Using AI and machine learning to help with Quran memorization and
recitation.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/adblockradio/adblockradio"
>An adblocker for live radio streams and podcasts. Machine learning
meets Shazam.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://www.getrevue.co/profile/swap/issues/weekly-update-1-225258"
>Search/personalization as a service to small-medium businesses
&& automation in screening</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/jasonmayes/Real-Time-Person-Removal"
>Removing people from complex backgrounds in real time using
TensorFlow.js in the web browser.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/UniversalDataTool/universal-data-tool"
>Collaborate & label any type of data, images, text, or documents,
in an easy web interface or desktop app.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/bjoernkarmann/project_alias"
>Alias is a teachable “parasite” that is designed to give users more
control over their smart assistants, both when it comes to
customisation and privacy.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://www.youtube.com/playlist?list=PLhYmet_wsdVHARIgDLSXpXcs2-XlR0oJ1"
>AI Projects - Will Kwan</a
>
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/cchen156/Learning-to-See-in-the-Dark</li>
</ul>
<!-- -->
<ul>
<li>
https://medium.com/analytics-vidhya/sentiment-analysis-of-restaurant-reviews-542727dc24e2
</li>
</ul>
<!-- -->
<ul>
<li>
<a
href="https://github.com/cortexlabs/cortex/tree/master/examples/tensorflow/license-plate-reader"
>Build a DIY license plate reader with machine learning</a
>
+ https://news.ycombinator.com/item?id=24493248
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://github.com/SashiDo/awesome-teachable-machine"
>A curated list of awesome machine learning projects built with
Google’s Teachable Machine.</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
<a href="https://mlart.co/"
>ML Art - A curated showcase of creative machine learning artworks and
projects</a
>
</li>
</ul>
<!-- -->
<ul>
<li>
https://towardsdatascience.com/create-your-own-smart-baby-monitor-with-a-raspberrypi-and-tensorflow-5b25713410ca
</li>
</ul>
<!-- -->
<ul>
<li>https://github.com/nashory/gans-awesome-applications</li>
</ul>
<!-- -->
<ul>
<li>
[Automating my job by using GPT-3 to generate database-ready SQL to
answer business questions(https://blog.seekwell.io/gpt3) +
https://news.ycombinator.com/item?id=25930190
</li>
</ul>
<!-- -->
<ul>
<li>https://einstein.digitalhumans.com</li>
</ul>
<h3 id="opinions">Opinions</h3>
<ul>
<li>https://thinkml.ai/top-5-ai-achievements-of-2020</li>
</ul>
<!-- -->
<ul>
<li>
https://www.hyro.ai/post/gpt-3-vs-existing-conversational-ai-solutions
</li>
</ul>
<!-- -->
<ul>
<li>
https://www.fastcompany.com/90590042/turing-test-obsolete-ai-benchmark-amazon-alexa
</li>
</ul>
<h3 id="security">Security</h3>
<ul>
<li>
<a href="https://arxiv.org/pdf/2006.12784v1.pdf"
>Unencrypted PCIe traffic, to leak DNN models.</a
>
</li>
</ul>
</body>
</html>